Nonparametric multivariate breakpoint detection for the means, variances, and covariances of a discrete time stochastic process
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Publication:3145403
DOI10.1080/10485252.2012.709246zbMath1254.62093OpenAlexW2089403898MaRDI QIDQ3145403
Publication date: 20 December 2012
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485252.2012.709246
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Cites Work
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- Robust production management
- Scenario tree modeling for multistage stochastic programs
- Change-points in nonparametric regression analysis
- Robust solutions of uncertain linear programs
- Optimal pointwise adaptive methods in nonparametric estimation
- Statistical estimation in varying coefficient models
- Estimation of a function with discontinuities via local polynomial fit with an adaptive window choice
- Hidden Markov models approach to the analysis of array CGH data
- Statistical inference for time-inhomogeneous volatility models.
- Detection and localization of change-points in high-dimensional network traffic data
- Outlier sums for differential gene expression analysis
- Efficient Estimation and Inferences for Varying-Coefficient Models
- On a Problem of Adaptive Estimation in Gaussian White Noise
- Detecting Abrupt Changes by Wavelet Methods
- Jump and sharp cusp detection by wavelets
- An online kernel change detection algorithm
- A Modified Bayes Information Criterion with Applications to the Analysis of Comparative Genomic Hybridization Data
- Mean and covariance matrix adaptive estimation for a weakly stationary process. Application in stochastic optimization
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